Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 1305

Tiny, fuzzy blobs. I’ve spent a lot of time in the last few years looking at images of tiny, fuzzy blobs. They’re only ever a few pixels wide, like smudges on a photo, but they could be the key that unlocks the mystery of dark matter.

The blobs are galaxies: swirling pools of stars and planets suspended in space, millions of light-years away from Earth. The images were collected by an advanced camera with a 1m (3.3ft) lens mounted on the giant Victor M Blanco Telescope, 2,200m (7,200ft) up in the mountains of the Coquimbo Region of Chile.

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Cells in the human body chat with each other all the time. One major way they communicate is by releasing tiny spheres called exosomes. These carry fats, proteins, and genetic material that help regulate everything from pregnancy and immune responses to heart health and kidney function.

Now, a new Columbia University study in Nature Nanotechnology demonstrated that these “nanobubbles” can deliver potent immunotherapy directly to tough-to-treat lung cancer tumors via inhalation.

“Exosomes work like text messages between cells, sending and receiving information,” said lead researcher Ke Cheng, PhD, professor of biomedical engineering at Columbia. “The significance of this study is that exosomes can bring mRNA-based treatment to lung cancer cells locally, unlike systemic chemotherapy that can have side effects throughout the body. And inhalation is totally noninvasive. You don’t need a nurse to use an IV needle to pierce your skin.”

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Chinese scientists have developed a new type of lens that can be used for health care and augmented reality (AR). Based on radio frequency, the eye-tracking smart contact lenses don’t require battery or conventional silicon chips and are biocompatible and imperceptible.

Set to be used for human-machine interaction (HMI), the smart contact lenses rely on tracking eye movements. The lenses use methods like pupil center corneal reflection and electrooculography (EOG) to track eye movements.

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Artificial general intelligence through an AI photonic chip face_with_colon_three

The pursuit of artificial general intelligence (AGI) continuously demands higher computing performance. Despite the superior processing speed and efficiency of integrated photonic circuits, their capacity and scalability are restricted by unavoidable errors, such that only simple tasks and shallow models are realized. To support modern AGIs, we designed Taichi—large-scale photonic chiplets based on an integrated diffractive-interference hybrid design and a general distributed computing architecture that has millions-of-neurons capability with 160–tera-operations per second per watt (TOPS/W) energy efficiency. Taichi experimentally achieved on-chip 1000-category–level classification (testing at 91.89% accuracy in the 1623-category Omniglot dataset) and high-fidelity artificial intelligence–generated content with up to two orders of magnitude of improvement in efficiency.

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